ABSTRACT

On the basis of system fuzzy selection and artificial neural network, a model to evaluate the financial crisis of coal enterprises is put forth in this paper. It integrates the three functions of measuring financial crisis, dynamically learning the inference knowledge by neural network, and forecasting the targets of financial crisis. As a new way for dynamic alerting before financial crisis, this model is proved effective and feasible.